Pros & Cons of the Most famous AI Algorithms
Author(s): Surya Govind Originally published on Towards AI. Photo by Alex Knight on Unsplash Famous AI weapons: what is the use, when to use & when to ignore. Point-wise summary Introduction: First, let’s see what a Classifier is: An algorithm that maps …
AI on the Edge — An AI Nerd Series |#01-Pilot
Author(s): Rakesh Acharya Originally published on Towards AI. AI on the Edge — An AI Nerd Series U+007C#01-Pilot The advent of Edge Computing and the need to bring AI to Edge In the beginning, there was one big computer. Soon we started …
Why is Python the Ideal Programming Language for AI and Data Science?
Author(s): Kristy Hill Originally published on Towards AI. Image by Geralt at Pixabay Is Python the preferred programming language for AI and Data Science today? If yes, then let’s learn the logical reasons in this article, along with why it is an …
History of the Machine Learning Department at Carnegie Mellon
Author(s): Roberto Iriondo Originally published on Towards AI. Gates Hillman Center portrayed. Courtesy: Carnegie Mellon University Machine Learning How was the first machine learning academic department founded Tom M. Mitchell portrayed, Machine Learning Department Head 1997–1999 and 2002–2015, Source: CMU. The Machine …
Five Cool Python Libraries for Data Science
Author(s): Dhilip Subramanian Handy Python libraries for data science Python is a best friend for the majority of the Data Scientists. Libraries make their life simpler. I have come across five cool Python libraries while working on my NLP project. This helped me …
Outlier Detection (Part 1): Univariate
Author(s): Mishtert T Originally published on Towards AI. Analyze even better — For Better Informed Decision Robust Statistics: Example in R Making a Point A popular tool for outlier detection is Calculate z-score for each observation. Flag observation as an outlier if …
The Data Science Behind Netflix
Author(s): Divy Shah Originally published on Towards AI. Top highlight “Netflix is not only a successful Service but it is completely a Data-Driven Service.” Netflix in numbers Last year Netflix announced that it signed on 135 million Paid customers worldwide. Netflix’s US …
A Lite BERT for Reducing Inference Time
Author(s): Edward Ma Originally published on Towards AI. BERT Photo by Ksenia Makagonova on Unsplash BERT (Devlin et al., 2018) achieved lots of state-of-the-art results in 2018. However, it is not easy to use BERT (Devlin et al., 2018) in production even …
Taking the Intelligence out of AI
Author(s): Dr. Adam Hart Originally published on Towards AI. When we look at clouds or other ambiguous media and sometimes see images that form out from the clouds, this effect, known as pareidolia is at work. This is the brain's effort to …
Keras for Multi-label Text Classification
Author(s): Aman Sawarn Originally published on Towards AI. https://pixabay.com/photos/wintry-dawn-secret-light-trees-4532412/ Machine Learning CNNs and LSTMs architectures for Multi-Label Text Classification using Keras Multi-label classification can become tricky, and to make it work using pre-built libraries in Keras becomes even more tricky. This blog …
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